Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
BMJ Open

Women’s health-related functioning and its association with non-severe maternal morbidities during the perinatal period: an observational longitudinal study

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
Frontiers

Amyloid pathology modulates the relationship between subsyndromal symptomatic depression and tau accumulation in non-demented older adults

Objective: Subsyndromal symptomatic depression (SSD) has been increasingly implicated in the pathophysiological processes of Alzheimer’s disease (AD). However, it remains unclear whether SSD and ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

A Lower Bound on the Success Probability of Binary Random Linear Network Codes Aided by Noise Decoding

Abstract: The decoding of binary random linear codes for packet erasures relies on receivers collecting a sufficient number of error-free coded packets for the reconstruction of a transmitted message.